Senior Developer, Machine Learning Operations
Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Jul 29, 2026. United Overseas Bank scores B on the Alion truth index.
About UOB
United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values - Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.
Job Description
Who We Are
Enterprise Analytics (EA) stands at the forefront of UOB's vision, aiming to establish the bank as a leader in deploying cutting-edge Machine Learning models. Comprising a team of experts, we focus on enhancing the bank's capabilities in supporting key areas such as Risk, Wealth, Retail, etc., with a strong emphasis on coordination in data management, technology, and internal stakeholder collaboration.
Upholding to UOB’s core value of being enterprising, we are incredibly thrilled about strengthening this strategic unit’s capabilities for the bank, envisioning significant progress and innovation. We firmly believe that advanced analytics is a pivotal factor in delivering premier AI services to our stakeholders.
Your Profile
We seek individuals with highly developed conceptual, strategic, and analytical skills, capable of striking a balance between visionary thinking and practical solutions. The ability to comprehend, inspire, and mobilize others is crucial. A business-oriented mindset coupled with effective storytelling will drive your success. We are looking for self-starters ready to take on responsibilities with enthusiasm.
Your Role
This Machine Learning Operations role focuses on building and integrating Traditional AI, Generative AI, and Agentic AI solutions into enterprise environments. You will work closely with data scientists, architects, and DevOps teams to design, implement, and optimize AI pipelines and infrastructure.
Key Responsibilities:
- Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.
- Develop and maintain the entire DevOps pipelines.
- Ensure seamless deployment and integration between cloud/prem environments (AWS).
- Integrate AI models into production environments using containerized platforms such as OpenShift.
- Implement and maintain network security protocols to safeguard AI systems and data pipelines.
- Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.
- Monitor and optimize system performance, reliability, and scalability.
- Support CI/CD processes and infrastructure for AI model deployment and updates.
Key Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Bash and Unix/Linux command-line toolkit is a must-have.
- Deep technical background, with hands-on experience in supporting CI/CD pipelines (Bitbucket, Jenkins, Artifactory, Sonar, Veracode for SAST, JIRA workflow, and Confluence).
- Hands-on experience with OpenShift, Docker, Kubernetes.
- Knowledge of cloud platforms (e.g. AWS) is a must-have.
- Exposure to data and network security and compliance in AI systems.
- Knowledge of API integration and microservices architecture.
- Proficiency in Python used both for automation and ML-related tasks
- Knowledge of Workflow Orchestrator, such as Ctrl-M
- Good knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
- Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, OpenTelemetry.
- Understanding of Generative AI (e.g. prompt engineering, RAG pipelines) and Agentic AI concepts.
Additional Requirements
Be a Part of the UOB Family
UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.
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